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Temporal and Spatial Distribution of Carbon Emissions

  • Stefan Reis
  • Heiko Pfeiffer
  • Jochen Theloke
  • Yvonne Scholz
Part of the Ecological Studies book series (ECOLSTUD, volume 203)

In the early stages of research in climate change, the focus was on the quantification of global and regional carbon cycles. At this stage, the accurate determination of location and time of emissions played a less prominent role. But with the growing need for verification experiments and prior information for atmospheric transport models (Chaps. 3, 12) to underpin and support policy development, and thus the application of climate and atmospheric dispersion models, it became evident that both anthropogenic and biogenic carbon emissions had to be provided in a spatial and temporal resolution matching the requirements of said models.

The methodology for the temporal and spatial resolution of anthropogenic emissions, in general, has been around for some time. Some of the techniques described in the following sections have, for instance, been developed for the application of atmospheric dispersion models to quantify acid deposition and ambient air concentrations of tropospheric ozone. One major activity during the 1990s in this field has been the work within the EUROTRAC subproject Generation and Evaluation of Emission Data (GENEMIS), which has been documented in Friedrich and Reis (2004).

Keywords

Carbon Emission Emission Factor Line Source Emission Inventory Road Transport 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Friedrich R, Freibauer A, Gallmann E, Giannouli M, Koch D, Peylin P, Pye S, Riviere E, San Jose R, Winiwarter W, Blank B, Kühlwein J, Pregger T, Reis S, Scholz Y, Theloke J, Vabitsch A (2003) Temporal and Spatial Resolution of Greenhouse Gas Emissions in Europe. Report from a Workshop held in Stuttgart. (http://gaia.agraria.unitus.it/ceuroghg/reportws3.pdf).
  2. Friedrich R, Reis S (eds.) (2004) Emissions of Air Pollutants—Measurements, Calculation, Uncertainties—Results from the EUROTRAC Subproject GENEMIS. Springer Publishers.Google Scholar
  3. Jonson, JE, Tarrasón L, Bartnicki J (2000) Effects of International Shipping on European Pollution Levels (EMEP/MSC-W, Note 5/00), Research Note no. 41 DNMI, Oslo.Google Scholar
  4. Kalivoda MT, Kudrna M, Feller R (1997) Methodologies for Estimating Emissions from Air Traffic. Deliverable N° 18 for the CEC Funded Project ‘Methodologies for Estimating Air Pollutant Emissions from Transport (MEET)’. http://www.inrets.fr/infos/cost319/MEETD eliverable 18.PDF
  5. Kühlwein J, Friedrich R (2000) Uncertainties of modelling emissions from road transport. Atmospheric Environment 34, 4603-4610.CrossRefGoogle Scholar
  6. Olivier JGJ, Bouwman AF, Berdowski JJM, Veldt C, Bloos JPJ, Visschedijk AJH, Van der Maas CWM, Zandveld PYJ (1999) Sectoral emission inventories of greenhouse gases for 1990 on a per country basis as well as on 1° × 1°. Environmental Science and Policy 2, 241-264.CrossRefGoogle Scholar
  7. Rypdal K, Winiwarter W (2001) Uncertainties in greenhouse gas inventories—Evaluation, com-parability and implications. Environmental Science and Policy 4, 107-116.CrossRefGoogle Scholar
  8. Slemr F, Baumbach G, Blank P, Corsmeier U, Fiedler F, Friedrich R, Habram M, Kalthoff N, Klemp D, Kühlwein J, Mannschreck K, Möllmann-Coers M, Nester K, Panitz HJ, Rabl P, Slemr J, Vogt U, Wickert B (2002) Evaluation of modelled spatially and temporally high resolved emission inventories of photo smog precursors for the city of Augsburg: The experi-ment EVA and its major results. Journal of Atmospheric Chemistry 42, 207-233.CrossRefGoogle Scholar
  9. Vogel B, Corsmeier U, Vogel H, Fiedler F, Kühlwein J, Friedrich R, Obermeier A, Weppner J, Kalthoff N, Bäumer D, Bitzer A, Jay K (2000) Comparison of measured and calculated motor-way emission data. Atmospheric Environment 34, 2437-245.CrossRefGoogle Scholar
  10. Winiwarter W, Rypdal K (2001) Assessing the uncertainty associated with National greenhouse gas emission inventories: A case study for Austria. Atmospheric Environment 35(25), 5425-5440.CrossRefGoogle Scholar

Copyright information

© Springer Science + Business Media, LLC 2008

Authors and Affiliations

  • Stefan Reis
    • 1
  • Heiko Pfeiffer
    • 2
  • Jochen Theloke
    • 2
  • Yvonne Scholz
    • 3
  1. 1.Centre for Ecology and Hydrology, Bush EstatePenicuikUK
  2. 2.Institute of Energy Economics and the Rational Use of EnergyUniversity of StuttgartStuttgartGermany
  3. 3.Institut für Technische ThermodynamikDeutsches Zentrum für Luft und Raumfahrt e.V. (DLR) in der HelmholtzgemeinschaftStuttgartGermany

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